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All Journal YUME : Journal of Management Journal of Economics and Management Scienties Jurnal Ilmiah Bisnis dan Ekonomi Asia (Jibeka)
Sutrisno, Timotius FCW
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Health Professions Library & Information Science Social Sciences

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Green Logistics Role in Enhancing Green Supply Chain Performance Through Green Procurement and Eco-Friendly Transportation Lokman, Paula Olivia; Sutrisno, Timotius FCW
Journal of Economics and Management Scienties Volume 8 No. 2, March 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jems.v8i2.368

Abstract

This study aims to analyze the influence of green procurement and eco-friendly transportation on green supply chain performance in manufacturing companies in East Java with green logistics as a mediating variable. The approach used is a quantitative explanatory approach with a Likert scale questionnaire survey of 1–7 to 143 managers and supervisors involved in supply chain management and operations. Then the data were analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The results show that green procurement and eco-friendly transportation have a positive and significant effect on green logistics, while green logistics and green procurement have a positive and significant effect on green supply chain performance. However, the direct effect of eco-friendly transportation on green supply chain performance was not proven to be significant. These findings also indicate that green logistics significantly mediates the effect of green procurement and eco-friendly transportation on green supply chain performance, thus confirming the role of green logistics as a key capability that translates green practices upstream into improved environmental and operational performance along the supply chain.
Role Green Logistics Mediation in Improving Green Supply Chain Performance through Sustainable Manufacturing and Reverse Logistics Wibisono, Jonathan; Sutrisno, Timotius FCW
Journal of Economics and Management Scienties Volume 8 No. 3, June 2026 (Accepted)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jems.v8i3.371

Abstract

This study aims to analyze the role of green logistics as a mediating variable in the relationship between sustainable manufacturing and reverse logistics on green supply chain performance in manufacturing companies in East Java. A quantitative approach was used through a questionnaire survey of manufacturing managers, with covariance-based Structural Equation Modeling analysis using AMOS. The measurement model was tested for validity and reliability, while the structural model was used to examine the direct and indirect influences between variables. The results show that sustainable manufacturing has a significant impact on green logistics, and green logistics has a significant positive impact on green supply chain performance. Conversely, reverse logistics has no significant impact on either green logistics or green supply chain performance, so its contribution to green supply chain performance is still limited. These findings indicate that improving green supply chain performance is more effectively achieved through the integration of sustainable manufacturing practices with green logistics rather than relying solely on reverse logistics, which is still partial and reactive. This study positions green logistics as a key mediator explaining how sustainable manufacturing and reverse logistics practices contribute to green supply chain performance in the context of developing countries.
Modeling the Dynamic Impact of TikTok Advertising Expenditure on Skincare Product Demand: Evidence from Time Series Analysis Sari, Inten Permata; Sutrisno, Timotius FCW
Journal of Economics and Management Scienties Volume 8 No. 3, June 2026 (Accepted)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/jems.v8i3.411

Abstract

This study examines the dynamic impact of TikTok advertising expenditure on skincare product demand using a time-series framework. The objective is to evaluate whether incorporating digital advertising spending as an exogenous variable improves sales forecasting accuracy on social commerce platforms. Monthly secondary data from Company X, covering shampoo and cream products sold on TikTok from October 2024 to October 2025, were analyzed. The study compares ARIMA, ARIMA with Trend, and ARIMAX models. Stationarity was tested using the Augmented Dickey–Fuller test, while model selection was based on AIC, MSE, RMSE, and MAPE. The results reveal heterogeneous demand characteristics across products. Shampoo demand shows strong persistence and relatively stable patterns, with advertising expenditure having a positive but limited incremental effect on forecasting accuracy. In contrast, cream demand is highly sensitive to advertising intensity. The ARIMAX model significantly outperforms alternative models for cream products, producing substantially lower forecast errors. These findings indicate that promotional elasticity differs across product categories. Managerially, the results suggest that promotion-driven products require tighter integration between marketing expenditure planning and operational forecasting, while habitual products may rely more on historical demand patterns. This study contributes to digital marketing and forecasting literature by empirically demonstrating the product-specific effectiveness of social media advertising within a dynamic time-series context.
Co-Authors Andrina, A.A.A Puty Andrina, Anak Agung Ayu Puty Anwar, Maya Bimantoko, Andreas G Cesario, Edward David Sukardi Kodrat Dieny, Aulia Rahma Fahrul Riza Harja, Sidhi Pratomo Kirana, Natasya Sharla Liliana Dewi Lokman, Paula Olivia Sari, Inten Permata Tjiputra, Luisa Hartono Veralini, Veralini Wardhana, Tri Yogi Wibisono, Jonathan Wibowo, Eri